scholarly journals Modal Frequencies Associations with Musculoskeletal Components of Human Legs for Extracorporeal Bone Healing Assessment Based on a Vibration Analysis Approach

Sensors ◽  
2022 ◽  
Vol 22 (2) ◽  
pp. 670
Author(s):  
Benjamin Steven Vien ◽  
Wing Kong Chiu ◽  
Matthias Russ ◽  
Mark Fitzgerald
Keyword(s):  
Fracture Healing ◽  
Vibration Analysis ◽  
Clinical Investigation ◽  
Healthcare Management ◽  
Coupled Modes ◽  
Femur Length ◽  
Out Of Plane ◽  
Independent Variable ◽  
Healing Assessment ◽  
Further Development

Reliable and quantitative assessments of bone quality and fracture healing prompt well-optimised patient healthcare management and earlier surgical intervention prior to complications of nonunion and malunion. This study presents a clinical investigation on modal frequencies associations with musculoskeletal components of human legs by using a prototype device based on a vibration analysis method. The findings indicated that the first out-of-plane and coupled modes in the frequency range from 60 to 110 Hz are associated with the femur length, suggesting these modes are suitable quantitative measures for bone evaluation. Furthermore, higher-order modes are shown to be associated with the muscle and fat mass of the leg. In addition, mathematical models are formulated via a stepwise regression approach to determine the modal frequencies using the measured leg components as variables. The optimal models of the first modes consist of only femur length as the independent variable and explain approximately 43% of the variation of the modal frequencies. The subsequent findings provide insights for further development on utilising vibration-based methods for practical bone and fracture healing monitoring.

Clinical feasibility of fracture healing assessment through continuous monitoring of implant load

2020 ◽  
pp. 110188
Author(s):  
Manuela Ernst ◽  
Heiko Baumgartner ◽  
Stefan Döbele ◽  
Dankward Höntzsch ◽  
Tim Pohlemann ◽  
...  
Keyword(s):  
Fracture Healing ◽  
Continuous Monitoring ◽  
Healing Assessment

Application of ESPI in the Vibration Analysis of Turbine Blading

1995 ◽  
Author(s):  
Robert X. Wang ◽  
Graham M. Chapman
Keyword(s):  
Finite Element Analysis ◽  
Finite Element ◽  
Vibration Analysis ◽  
Speckle Pattern ◽  
Vibration Measurement ◽  
Simplified Model ◽  
Electronic Speckle Pattern Interferometry ◽  
Coupled Modes ◽  
Element Analysis ◽  
Turbine Blading

Abstract This paper reports on the application of Electronic Speckle Pattern Interferometry (ESPI) technique in vibration measurement of turbine blading. Using the time-averaged mode of ESPI, the first six modes of a turbocharger blade with airfoil profile were identified. The effect of the complicated profile of the blade was established by studying simplified model blades. Coupled modes were identified and successfully separated. Experimental results are compared with those obtained using finite element analysis.

scholarly journals Free Vibration Analysis of Rings via Wave Approach

2018 ◽  
Vol 2018 ◽  
pp. 1-14
Author(s):  
Wang Zhipeng ◽  
Liu Wei ◽  
Yuan Yunbo ◽  
Shuai Zhijun ◽  
Guo Yibin ◽  
...  
Keyword(s):  
Free Vibration ◽  
Vibration Analysis ◽  
Natural Frequencies ◽  
Classical Method ◽  
Free Vibration Analysis ◽  
Material Parameters ◽  
Wave Approach ◽  
Out Of Plane ◽  
Vibration Transmissibility ◽  
Ring Structures

Free vibration of rings is presented via wave approach theoretically. Firstly, based on the solutions of out-of-plane vibration, propagation, reflection, and coordination matrices are derived for the case of a fixed boundary at inner surface and a free boundary at outer surface. Then, assembling these matrices, characteristic equation of natural frequency is obtained. Wave approach is employed to study the free vibration of these ring structures. Natural frequencies calculated by wave approach are compared with those obtained by classical method and Finite Element Method (FEM). Afterwards natural frequencies of four type boundaries are calculated. Transverse vibration transmissibility of rings propagating from outer to inner and from inner to outer is investigated. Finally, the effects of structural and material parameters on free vibration are discussed in detail.

Frequency Analysis of Linearly Coupled Modes of MEMS Arrays

2016 ◽  
Vol 138 (2) ◽  
Author(s):  
Prashant N. Kambali ◽  
Gyanadutta Swain ◽  
Ashok Kumar Pandey
Keyword(s):  
Frequency Tuning ◽  
Approximate Model ◽  
Sensors And Actuators ◽  
Coupled Modes ◽  
Coupling Region ◽  
Reduced Order ◽  
Single Beam ◽  
Tuning Parameters ◽  
Out Of Plane ◽  
Fringing Field

Microelectromechanical system (MEMS) based arrays have been employed to increase the bandwidth and sensitivity of many sensors and actuators. In this paper, we present an approximate model to demonstrate the tuning of in-plane and out-of-plane frequencies of MEMS arrays consisting of fixed–fixed beams. Subsequently, we apply the Galerkin's method with single approximate mode to obtain the reduced-order static and dynamic equations. Corresponding to a given direct current (DC) voltage, we first solve the static equations and then obtain corresponding frequencies from the dynamic equation for single beam and arrays of multibeams. We compare the model with available experimental results. Later, we show the influence of different frequency tuning parameters such as the initial tensions, fringing field coefficients and the variable inter beam gaps between the microbeam and electrodes to control the coupling region and different modal frequencies of the beam. Finally, we obtain a compact model which can be used in optimizing the bandwidth and sensitivity of microbeams array.

Fracture Healing Assessment with External Fixation

1985 ◽  
Vol 14 (1) ◽  
pp. 13-20 ◽  
Author(s):  
A E Churches ◽  
K E Tanner ◽  
M Evans ◽  
J Gwillim
Keyword(s):  
Fracture Healing ◽  
External Fixation ◽  
Healing Assessment

Pulsed carrier out-of-plane speckle interferometry for transient vibration analysis

1998 ◽  
Vol 45 (4) ◽  
pp. 825-836 ◽  
Author(s):  
J. N. Petzing ◽  
A. Davila ◽  
D. Kerr ◽  
J. R. Tyrer
Keyword(s):  
Vibration Analysis ◽  
Speckle Interferometry ◽  
Transient Vibration ◽  
Out Of Plane

scholarly journals Sex Difference in Hip Adduction during Running: Influence of Hip Abductor Strength, Activation, and Pelvis & Femur Morphology

2021 ◽  
Author(s):  
Jia Liu ◽  
Kristi L. Lewton ◽  
Patrick M. Colletti ◽  
Christopher M. Powers
Keyword(s):  
Sex Differences ◽  
Femoral Neck ◽  
Muscle Activation ◽  
Femoral Anteversion ◽  
Femur Length ◽  
Computed Tomography Scanning ◽  
Hip Abductor ◽  
Independent Variable ◽  
Tomography Scanning ◽  
Abductor Strength

Purpose: To examine the influence of hip abductor strength, neuromuscular activation, and pelvis & femur morphology in contributing to sex differences in hip adduction during running.Methods: Fifteen female and 14 male runners underwent strength testing, instrumented overground running (e.g., kinematics and muscle activation), and computed tomography scanning of pelvis and femur. Morphologic measurements included bilateral hip width to femur length ratio, acetabulum abduction, acetabulum anteversion, femoral anteversion, and femoral neck-shaft angles. Sex differences for all variables were examined using independent t-tests. Linear regression was used to assess the ability of each independent variable of interest to predict peak hip adduction during the late swing and stance phase of running. Results: Compared to males, females exhibited significantly greater peak hip adduction during both late swing (8.5 ± 2.6° vs 6.2 ± 2.8°, p = 0.04) and stance phases of running (13.4 ± 4.2° vs 10.0 ± 3.2°, p = 0.02). In addition, females exhibited significantly lower hip abductor strength (1.8 ± 0.3 vs 2.0 ± 0.3 Nm/kg, p=0.04), greater femoral neck-shaft angles (134.1 ± 5.0° vs 129.9 ± 4.1°, p=0.01), and greater hip width to femur length ratios than males (0.44 ± 0.02 vs 0.42 ± 0.03, p=0.03). Femoral anteversion was the only significant predictor of peak hip adduction during late swing (r=0.36, p=0.05) and stance (r=0.41, p=0.03).Conclusion: Our findings highlight the contribution of femur morphology as opposed to hip abductor strength and activation in contributing to hip adduction during running.

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